dbt-unit-testing VS bytebase

If you use dbt for transformations Dbt Unit Testing (https://github.com/EqualExperts/dbt-unit-testing) is getting some attention (https://www.thoughtworks.com/radar/languages-and-frameworks?blipid=202304042)

dbt-unit-testing

We use this and take an example-based tests approach for any non-trivial tables: https://github.com/EqualExperts/dbt-unit-testing

> How do you test some SQL logic in isolation?

I do this using sql

1. Extracting an 'ephemeral model' to different model file

2. Mock out this model in upstream model in unit tests https://github.com/EqualExperts/dbt-unit-testing

3. Write unit tests for this model.

This is not different than regular software development in a language like java.

I would argue its even better better because unit tests are always in tabular format and pretty easy to understand. Java unit tests on other hand are never read by devs in practice.

I haven't done it yet but there are some popular blogs as well as a DBT package someone created.

> I really don’t understand the communities obsession with unwieldy tools like DBT.

It lets me write test first sql transforms. I never thought TDD sql would be possible. My sql is so much more readable with common logic extracted into ephmeral models. I practice same method to write clear code to write sql, eg: too many mocks = refactor into separate model ( class) .

I think DBT made this possible with refs that can be swapped out with mocks. This is the awesome library I am using https://github.com/EqualExperts/dbt-unit-testing

We have been building https://github.com/bytebase/bytebase for 3+ years. You can think it of as GitHub/GitLab for SQL changes, with integrated GitOps, code review and deployment.

You can further check out this tutorial to get a feel of our GitOps solution

https://www.bytebase.com/docs/tutorials/database-change-mana...

We have been working on bytebase (https://github.com/bytebase/bytebase) for 3+ years to address this. With a change review workflow, environment propagations, and try not to disturb the dev flow if possible.

Migrations. All my database logic lives in version control.

Popular tooling like Phoenix, Hasura, etc have good built in migration stories.

https://www.bytebase.com looks really promising.

Hover, I do struggle with one big issue: changing database logic (views, functions, etc) that has other logic dependent on it. This seems like a solvable problem.

bytebase.com — Database CI/CD and DevOps. Free under 20 users and ten database instances

Bytebase offers a powerful GUI for schema migration deployments. This tutorial will show you how to use Bytebase to deploy schema migrations with features like SQL Review, custom approval, time scheduling, and more.

Now there are more subdivided practice: * Policy as Code: Sentinel, OPA * Database as Code: bytebase * AppConfiguration as Code: KusionStack, Acorn * ...... (Welcome to add more)

Bytebase is an open-source Database DevOps and CI/CD tool for teams, designed to centralize the control and secure your organization’s most valuable asset, the database data.

I use Bytebase to manage database changes for MySQL with GitOps workflow. I can manage my SQL scripts in my GitLab repo, and trigger a database change issue with committing a MR. Then Bytebase will record it after the issue is executed successfully. But I am not sure whether it supports procedures. Refer to https://github.com/bytebase/bytebase to get more details.